GAparsimony: Searching Parsimony Models with Genetic Algorithms (original) (raw)
Methodology that combines feature selection, model tuning, and parsimonious model selection with Genetic Algorithms (GA) proposed in {Martinez-de-Pison} (2015) <doi:10.1016/j.asoc.2015.06.012>. To this objective, a novel GA selection procedure is introduced based on separate cost and complexity evaluations.
| Version: | 0.9.5 |
|---|---|
| Depends: | R (≥ 3.0), methods, foreach, iterators |
| Imports: | stats, graphics, grDevices, utils |
| Suggests: | parallel, doParallel, doRNG (≥ 1.6), knitr (≥ 1.8), lhs, MASS, caret, mlbench, e1071, nnet, kernlab |
| Published: | 2023-04-07 |
| DOI: | 10.32614/CRAN.package.GAparsimony |
| Author: | F.J. Martinez-de-Pison |
| Maintainer: | F.J. Martinez-de-Pison |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/jpison/GAparsimony |
| NeedsCompilation: | no |
| Materials: | |
| CRAN checks: | GAparsimony results |
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